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23 results for “Stacking”
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Research ArticleOpen accessIn the keywordsStructural Analysis of DNA Interactions with Magnesium Ion Studied by Raman SpectroscopyS. Ponkumar, P. Duraisamy, N. IyanduraiProblem statement: In the present study, FT Raman spectroscopy had been used to extend our knowledge about Magnesium ion - DNA interactions at various volume ratios (1:50, 1:20, 1:10 and 1:5). Approach: The analysis of FT Raman data supported the existence of structural specificities in the interaction and also the stability of DNA secondary structure. Results: Results from the Raman … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 3 · 28 Nov 2011 · 8,679 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning TechniquesAshu Goyal, Anuj Gupta, Sharad Kumar et al.Customer churn poses a significant challenge for the telecommunications sector, resulting in substantial revenue losses and increased customer acquisition costs. This research creates an efficient churn prediction model that combines state-of-the-art machine learning with ensemble learning to maximize customer retention. With the IBM Telco Customer Churn dataset, several baseline models, including Gradient Boosting, AdaBoost, Logistic Regression, Random Forest, and Support … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 3,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,976 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Multi-Layer Perceptron in Ensemble Using Random Search for Bankruptcy PredictionBambang Siswoyo, Zuraida Abal Abas, Ahmad Naim Che Pee et al.A corporation is in financial trouble if it has money problems but has yet to be bankrupt. Companies' financial woes must be identified early to implement various bankruptcy avoidance strategies. This study discusses the optimization of the multi-layer perceptron ensemble stacking classifier hyperparameter by majority voting as a methodology for constructing a classification model for bankruptcy prediction (MLP-STM). The primary … …Journal of Computer Science, Vol. 19, Issue 2 · 5 Feb 2023 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining SMOTE and OVA with Deep Learning and Ensemble Classifiers for Multiclass ImbalancedRattanawadee PanthongThe classification of real-world problems alwaysconsists of imbalanced and multiclass datasets. A dataset having unbalanced andmultiple classes will have an impact on the pattern of the classification modeland the classification accuracy, which will be decreased. Hence,oversampling method keeps the class of dataset balanced and avoids theoverfitting problem. The purposes of the study were to handle multiclassimbalanced datasets and to improve … …Journal of Computer Science, Vol. 18, Issue 8 · 23 Aug 2022 · 6,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter Measurement and Calibration in Discrete Element Simulation of Broken Sweet Potato SeedlingsGuizhi Mu, Xieteng Qi, Wangzhi Zhang et al.Given the lack of accurate parameter values in discrete element simulation of sweet potato seedling mechanized recovery, a direct measurement and virtual calibration method was used to study the Discrete Element Method (DEM) simulation parameters of broken sweet potato stems and leaves. The intrinsic parameters, collision recovery coefficient and static friction coefficient of broken seedlings were acquired by physical experiments. … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 2 · 8 Jun 2021 · 6,369 accessesView PDFCite
Research ArticleOpen accessIn the abstractLithofacies and Depositional Environment from Geophysical Logs of EMK Field, Deepwater Niger Delta, NigeriaEmeka A. Nwagwu, Godwin O. Emujakporue, Sylvester A. Ugwu, R. OghonyaThe lithofacies and environments of deposition of the EMK field, in parts of the deepwater zone of Niger Delta Basin, have been carried out. Geophysical well logs from two deep oil wells were used. Shale and sand were identified in the gamma ray logs. The shale lithology is more dominant than the sand and this was interpreted as the marine … …Current Research in Geoscience, Vol. 9, Issue 1 · 4 Dec 2019 · 13,188 accessesView PDFCite
EditorialOpen accessIn the abstractInternational Journal of Structural Glass and Advanced Materials Research: A New Open Platform for Materials ScienceChiara Bedon, Mario D’Aniello, Andreas Luible, Flavio StochinoEditorial The International Journal of Structural Glass and Advanced Materials Research (IJSGAMR) is a new peer-reviewed, open access journal, which covers all aspects of theoretical and practical research of materials science. The journal aims to promote international exchange of knowledge and broad discussion on advancements, outcomes and recent developments in materials research for engineering applications. In the last years, the … …International Journal of Structural Glass and Advanced Materials Research, Vol. 1, Issue 1 · 17 May 2017 · 13,690 accessesView PDFCite